An Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models

An Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models

Landslide susceptibility mapping (LSM) characterizes landslide potential, which is essential for assessing landslide risk and developing mitigation strategies. Despite the significant progress in LSM research over the past two decades, several long-standing issues, such as uncertainties related to t...

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Bibliographic Details
Main Authors: Sahand Khabiri, Matthew M. Crawford, Hudson J. Koch, William C. Haneberg, Yichuan Zhu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
Bayesian network
negative samples
landslide susceptibility mapping (LSM)
uncertainty
PISA-m
robustness
Online Access:https://www.mdpi.com/2072-4292/15/12/3200

Internet

https://www.mdpi.com/2072-4292/15/12/3200

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